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AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations

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dc.contributor.author Kumar, Dhruv
dc.date.accessioned 2024-08-13T06:42:35Z
dc.date.available 2024-08-13T06:42:35Z
dc.date.issued 2023-07
dc.identifier.uri https://ieeexplore.ieee.org/document/10181222
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/15223
dc.description.abstract Today, data is generated in a geographically distributed manner in a wide variety of domains such as social networks, e-commerce, search engines, online advertisements, audio and video streaming, energy, smart cities, IoT sensors etc. Consequently, this data is stored across geographically distributed edges and data centers (DCs) near to the end-users and end-devices, the very sources of this data. Analyzing this geographically distributed data is challenging primarily due to two reasons: 1) constrained and costly WAN bandwidth links which connect the geo-distributed edges and DCs (henceforth collectively called as sites) [1], and 2) limited compute availability at each site en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Computer Science en_US
dc.subject Geo distributed joins en_US
dc.subject Cloud en_US
dc.subject Edge en_US
dc.title AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations en_US
dc.type Article en_US


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